面向农业领域的智能系统技术体系架构及其实现

阐述作者及团队对农业智能系统的技术体系架构取得的研究成果，包括运用专家系统、知识表示、推理机制、知识获取、开发平台，智能计算、机器学习、数据挖掘、本体论、人工生命等关键技术，探索在作物施肥、病虫害诊治、栽培管理，园艺以及畜禽水产养殖等方面，应用于决策支持、控制、预测、检索、仿真等，反映了智能信息技术面向农业领域，具有广阔的应用前景。

Technical Architecture and Implementation of Intelligent System for Agriculture Domain

A series of studies on the technical architecture of intelligent system for agriculture domain is elaborated in this paper, including key technologies such as the expert system, knowledge representation, inference mechanism, knowledge acquisition, development platform, intelligent computing, machine learning, data mining, ontology, artificial life and their implementations to decision support, control, forecasting, retrieval , simulation in fertilization of crops, diagnosis and treatment of plant diseases and insect pests, cultivation, horticulture, livestock and aquaculture etc. It shows that application of intelligent and information technology into agricultural domain is of broad prospect.